Calculate the absolute number of correct/incorrect classifications and the following evaluation measures:
tpr True positive rate (Sensitivity, Recall)
fpr False positive rate (Fall-out)
fnr False negative rate (Miss rate)
tnr True negative rate (Specificity)
ppv Positive predictive value (Precision)
for False omission rate
lrp Positive likelihood ratio (LR+)
fdr False discovery rate
npv Negative predictive value
lrm Negative likelihood ratio (LR-)
dor Diagnostic odds ratio
For details on the used measures see measures and also https://en.wikipedia.org/wiki/Receiver_operating_characteristic.
The element for the false omission rate in the resulting object is not called
for should never be used as a variable name in an object.
1 2 3 4
A list containing two elements
confusion.matrix which is
the 2 times 2 confusion matrix of absolute frequencies and
measures, a list of the above mentioned measures.
1 2 3 4
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.